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On the Correlations in Linearized Multivariate Stochastic Volatility Models

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  • Karim Moussa

    (Vrije Universiteit Amsterdam and Tinbergen Institute)

Abstract

In the analysis of multivariate stochastic volatility models, many estimation procedures begin by transforming the data, taking the logarithm of the squared returns to obtain a linear state space model. A well-known series representation links the correlations between elements of the observation error in the actual and linearized forms of the model. This note derives a closed-form expression for the series and discusses its statistical implications. Additionally, it offers a new interpretation of the correlations in the linearized model.

Suggested Citation

  • Karim Moussa, 2025. "On the Correlations in Linearized Multivariate Stochastic Volatility Models," Tinbergen Institute Discussion Papers 25-021/V, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20250021
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    References listed on IDEAS

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